Countries by SPI Pillar 2: Data Services
Malaysia achieves 99.67 on the data services pillar, nearly perfect accessibility and user-friendliness of statistical information. Turkmenistan scores 5.3, with data locked behind barriers or simply unavailable to the public. This 1,781% spread reveals that openness and accessibility of statistics—not just producing them—divide thriving information economies from secretive or failing states.
Ranking 2024
Analysis
The data services pillar measures how accessible, timely, and well-presented statistical data are to users. It evaluates four dimensions: (i) quality of data releases (documentation, timeliness, consistency), (ii) richness and openness of online access (whether data is free, easy to find, downloadable), (iii) effectiveness of advisory and analytical services (whether statisticians help users interpret data), and (iv) availability of secure microdata access (whether researchers can access anonymized individual-level records). Scored 0-100, this pillar captures whether statistics serve the public or remain locked in ministries. This matters because data locked away is useless—citizens, businesses, and policymakers cannot respond to information they cannot access. Year-over-year volatility averages 24.7%—higher than overall SPI volatility (5.1%)—because countries can rapidly improve data accessibility by launching portals, opening archives, or adopting open-data policies. All 190 countries reported 2024 data with 100% official quality.
The top rankings are dominated by data-open nations, not wealthy nations. Malaysia (99.67, rank 1) leads despite being upper-middle income, reflecting deliberate investment in data accessibility. Poland (99.0, rank 2) and Slovenia (98.53, rank 4) follow—Central European countries prioritizing open data. Singapore (98.4, rank 5), Finland (98.2, rank 6), and Denmark (97.83, rank 7) show Nordic and Asian leadership. Strikingly, Senegal (96.03, rank 15) ranks higher than the USA (95.0, rank 23), reflecting aggressive data-publishing initiatives in West Africa. Mongolia (96.33, rank 12) and Moldova (96.0, rank 16) also rank top-15 despite modest economies, showing that openness transcends wealth. By contrast, China (43.93, rank 167) ranks in the bottom half despite being the world's second-largest economy, reflecting restricted data access and limited public statistical portals. Japan (91.83, rank 41) ranks well but lower than many smaller nations, partly due to privacy protections limiting microdata access.
Small developing nations often rank higher than large developed ones on data services because they prioritize open-data initiatives. India (85.13, rank 65) ranks well, reflecting open government data programs and accessible census releases. South Africa (84.63, rank 68) scores similarly. The high volatility (24.7% year-over-year) reflects that countries can rapidly change data accessibility—launching an open-data portal can raise a score by 20+ points in one year; conversely, a government retreat into secrecy can cause sharp declines. Afghanistan shows 52.1% average volatility, reflecting institutional instability and frequent changes in data accessibility. Conversely, stable Nordic nations show low volatility—their data systems are entrenched. The spread (1,781%) is massive: Turkmenistan (5.3) is 188 times less accessible than Malaysia (99.67), reflecting authoritarian information control versus transparent governance.
This pillar measures accessibility and presentation, not data accuracy or usefulness. A country could score 95 on data services while publishing misleading or outdated statistics. Malaysia's high score reflects accessible portals and user-friendly interfaces, but doesn't guarantee that published data is correct. Additionally, the pillar focuses on online and formal data release—countries with strong institutional capacity to advise users may score high even if data is incomplete. Evaluation also relies on assessor perception of "quality" and "richness," which may differ across countries or change as technology evolves (e.g., APIs, dashboards). Finally, limited microdata access for privacy reasons may lower scores even when it's justified—some countries restrict individual-level data access to protect confidentiality, which is appropriate but penalizes the pillar score.
Methodology
The data services pillar score measures each country's data accessibility, presentation quality, and user support on a 0-100 scale across four dimensions. (i) Quality of data releases: timeliness, consistency, documentation, and adherence to standards; (ii) Openness and richness of online access: whether data are freely available, easy to find, and in machine-readable formats (APIs, downloadable files); (iii) Advisory and analytical services: whether statisticians provide guidance, training, or analytical support to data users; (iv) Secure microdata access: whether researchers can access anonymized individual records under confidentiality agreements. Data comes from the World Bank's World Development Indicators (indicator: IQ.SPI.PIL2), assessed through country self-evaluation and expert review. All 190 countries reported 2024 data with 100% official data quality. The mean data services score is 65.49 with a standard deviation of 23.25, indicating substantial global variation. No extreme outliers were detected (all within 3 standard deviations). Year-over-year volatility averages 24.7%, suggesting rapid changes in data accessibility as countries adopt new policies or platforms. The pillar is part of the broader SPI framework, which replaced the older Statistical Capacity Index in 2024.